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One of the important roles of CRM is big data analysis, the establishment of enterprise CRM can not only achieve efficient sales management, more importantly, can help enterprises better marketing. CRM will be the target population's information according to the need to be divided into different dimensions, so that the information labeling, distillation of individual or overall user profile model, to point out the direction of the enterprise decision-making to help enterprises quickly find the target user
After a period of time, a large amount of user information will be accumulated in the CRM system.
1, with the customer model to tap the potential customers
For customers, the CRM can be used to dig out their **** characteristics, which will guide the behavior of potential customers. In the initial use of sales to help CRM, customers can customize the user's label, such as geography, stage, source and so on. After accumulating a certain number of completed customers, CRM will be the average period of the stage of the completed customer, industry, source, product and other *** sexual aspects of the statistics, the formation of the user portrait model, so that enterprises know which industry or geographic region has the most opportunities, and which products are the most popular with customers ......
These *** characteristics can be used to better explore and serve potential customers. For example, in the sales help CRM opportunity analysis application, directly on the sales funnel stage is presented, through a large amount of data to calculate the average stay time of each stage, thus the time point to arrange the follow-up response to the potential customer, faster to win a single.
In the application of marketing promotion, CRM can count the source data of the customers who have made transactions, and through comparison with the final conversion rate, it can refine the appropriate promotion channels and carry out precise marketing, so as to maximize the benefits.
2, personality characteristics to guide personalized service
To customers, to study each customer's own data, such as purchase frequency, product purchase preferences, etc., to analyze, dig out the rules of customer purchasing behavior, personalized customer service, enhance customer satisfaction and stickiness, to extend the cycle of cooperation with the customer.
To the unfinished customers, the overall situation of the customer list information, follow-up records, etc. is carefully studied to dig out the customer's concern points, and better serve the customers.
The core of user profiling is data, through the CRM in-depth understanding of the enterprise's target customers, and constantly improve the customer model to reduce the churn rate of target customers.